Symposium Fall 2020

This event aims to bring together experts in the theoretical foundations and development and application of data intensive technologies and analysis to share discoveries, practical ideas, and insights. IDIES and MINDS seek to promote interdisciplinary collaborations and invite researchers from across JHU, the government, industry, and local organizations that have an interest in data science and how to apply it in their own projects or future projects to attend the symposium.

The 2020 Annual MINDS Symposium on October 23rd is being held via Zoom Webinars, and requires each participant to register.

Confirmed Speakers

Francis Bach : INRIA

Lauren Gardner : Johns Hopkins University

Sham Kakade : University of Washington

Gianluca Iaccarino : Stanford

Brice Menard : Johns Hopkins Univeristy

Deanna Needell : University of California, Los Angeles


Times shown in EST

TimeSessionSpeakerTitle of Presentation
9:00 amOpening Remarks
9:15 amMINDS Award Ceremony
9:30 amKeynote Speaker Lauren Gardner (JHU)Tracking COVID-19 in Real-time: Challenges Faced and Lessons Learned
10:10 amIDIES Seed Awardee
10:55 amMINDS Plenary Francis Bach (INRIA)On the convergence of gradient descent for wide two-layer neural networks
11:35 amIDIES Short TalkBrice MenardThe Sequencer – how to reveal the main trend in your dataset?
11:55 amIDIES Seed Awardee
12:10 pmPoster Session
LunchQ&A Session with Francis Bach 1:00 -1:30 pm
1:30 pmMINDS PlenarySham Kakade What are the statistical limits of offline reinforcement learning with function approximation?
2:10 pmIDIES Short TalkGianluca IaccarinoEngineering Simulations in the Age of Data
2:50 pmIDIES Seed Awardee
BreakQ&A Session with Sham Kakade
3:35 pmMINDS PlenaryDeanna NeedellOnline nonnegative matrix factorization for Markovian and other real data
4:15 pmIDIES Seed Awardee
4:30 pmMINDS Thesis Award
4:45 pmClosing Remarks
5:00 pmQ&A Session with Deanna Needell

Agenda is subject to change